Web Search
tmustier/pi-for-excel
Search the public web for up-to-date facts. An agent skill from tmustier/pi-for-excel.
Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).
Install Jina AI
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install archibate/dotfiles-opencode jina-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jina-ai .claude/skills/jina-ai && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .claude/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install archibate/dotfiles-opencode jina-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/jina-ai .agents/skills/jina-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .agents/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install archibate/dotfiles-opencode jina-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/jina-ai .cursor/skills/jina-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .cursor/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/archibate/dotfiles-opencode.git --path skills/jina-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install archibate/dotfiles-opencode jina-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/jina-ai .gemini/skills/jina-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .gemini/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install archibate/dotfiles-opencode jina-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/jina-ai .github/skills/jina-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .github/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add archibate/dotfiles-opencode --skill jina-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install archibate/dotfiles-opencode jina-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archibate/dotfiles-opencode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/jina-ai .opencode/skills/jina-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jina-ai" agent skill from https://github.com/archibate/dotfiles-opencode/tree/main/skills/jina-ai into .opencode/skills/jina-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jina-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jina-ai- GitHub stars
- 108
- Token cost
- ~381 tokens
- SKILL.md length
- 141 words
- Files
- 6 (incl. scripts)
- Skills in repo
- 34
- Repo updated
- First seen
- Licence
- None found
At a glance
Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).
- Works in 2 steps: Read URL (Jina Reader) → Search Web (Jina Search)
- Tasks that involve Web search
- SKILL.md covers Setup, Usage and Output
- Runs Python scripts from its folder; calls python3; reaches en.wikipedia.org; needs JINA_KEY and JINA_API_KEY
What it does
Jina AI is an agent skill from archibate/dotfiles-opencode. Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).
Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `__init__.py`, `scripts/jina_tools.py` and `tests/__init__.py`).
It sits in Productivity & Automation, covering Web search. The repository describes itself as: Archibate's personal configuration for OpenCode.
When your agent uses it
- Tasks that involve Web search
Example prompts
- “/jina-ai”
Requirements
- Python 3
- A credential in JINA_API_KEY
- A credential in JINA_KEY
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- Read URL (Jina Reader)
- Search Web (Jina Search)
What it can do on your machine
Read from SKILL.md and the folder at commit 46b6b23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
en.wikipedia.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
JINA_KEYJINA_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Jina AI loads about 381 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 141 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:23
echo "JINA_API_KEY=$JINA_KEY" >> .env - NoteMentions a .env fileSKILL.md:24
if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi - NoteMentions a .env fileSKILL.md:25
echo "API key saved to .env."
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 141 words (~381 tokens).
“This skill integrates Jina AI's Reader (r.jina.ai) and Search (s.jina.ai) APIs to convert URLs and web search results into clean, LLM-friendly Markdown.”
- name
- jina-ai
Files
SKILL.md and 5 other files (scripts) in skills/jina-ai of archibate/dotfiles-opencode.
- SKILL.md
- __init__.py
- requirements.txt
- scripts/jina_tools.py
- tests/__init__.py
- tests/test_jina_tools.py
Open the folder on GitHubat commit 46b6b23
Compare with similar skills
Jina AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jina AI this skillarchibate/dotfiles-opencode | 108 | — | ~381 | Automated safety check: Notes | None | |
| Web Searchtmustier/pi-for-excel | 434 | — | ~410 | Automated safety check: Pass | MIT | |
| Browse Nownowledge-co/community | 186 | — | ~619 | Automated safety check: Pass | None | |
| Brave Searchbadlogic/pi-skills | 2.6k | 5 repos | ~592 | Automated safety check: Pass | MIT | |
| Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill | 632 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT |
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Browse Now
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Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
Enterprise AI Scenario Map
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企业AI场景地图生成报告工具。通过 web-search 深度调研企业信息，按照V2.1标准模板生成结构化AI应用场景地图报告，包含企业画像、业务诊断、行业实践、AI场景全量表、实施路径等完整内容。
Web Search
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
Ddg Search
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Related
Questions about Jina AI
What does Jina AI do?
Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search). Jina AI is an agent skill from archibate/dotfiles-opencode. Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).
When should I use Jina AI?
Jina AI fits situations like: tasks that involve Web search.
How do I install Jina AI in Claude Code?
Run `npx skills add archibate/dotfiles-opencode --skill jina-ai -a claude-code`. Or copy the skill folder (skills/jina-ai in archibate/dotfiles-opencode) into .claude/skills/jina-ai in your project. Claude Code loads it when a task matches its description.
How do I install Jina AI in Codex?
Run `npx skills add archibate/dotfiles-opencode --skill jina-ai -a codex`. Or copy the skill folder (skills/jina-ai in archibate/dotfiles-opencode) into .agents/skills/jina-ai in your project. Codex loads it when a task matches its description.
Can I use Jina AI in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add archibate/dotfiles-opencode --skill jina-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jina-ai, .gemini/skills/jina-ai, .github/skills/jina-ai and .opencode/skills/jina-ai in your project.
What does Jina AI need to run?
Going by SKILL.md and its folder, Jina AI needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named JINA_KEY and JINA_API_KEY. Our summary lists: Python 3; A credential in JINA_API_KEY; A credential in JINA_KEY.
Does Jina AI access the network?
SKILL.md names 1 domain. In commands or code: en.wikipedia.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Jina AI safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Jina AI use?
No licence was found for Jina AI or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Jina AI use?
About 381 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Jina AI?
Skills that share tags, products or a category with Jina AI: Web Search (tmustier/pi-for-excel, 434 stars), Browse Now (nowledge-co/community, 186 stars), Brave Search (badlogic/pi-skills, 2.6k stars) and Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jina AI?
archibate (a GitHub user) maintains it in archibate/dotfiles-opencode, which has 108 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on April 29, 2026.
Source: archibate/dotfiles-opencode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.